AWS Lake Formation vs Amazon Redshift comparison

Amazon Redshift and AWS Lake Formation are both solutions in the Cloud Data Warehouse category. Amazon Redshift is ranked #9 with an average rating of 7.9, while AWS Lake Formation is ranked #8 with an average rating of 8.1. Amazon Redshift holds a 6.8% mindshare in CDW, compared to AWS Lake Formation’s 4.6% mindshare. Additionally, 87% of Amazon Redshift users are willing to recommend the solution, compared to 85% of AWS Lake Formation users who would recommend it.

Amazon Redshift

Read 72 Amazon Redshift reviews

3,547 Views
2,483 Comparison Views

87% willing to recommend

AWS Lake Formation

Read 21 AWS Lake Formation reviews

1,610 Views
1,385 Comparison Views

85% willing to recommend

Amazon Redshift

AWS Lake Formation

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Executive SummaryUpdated on Jan 4, 2026

Amazon Redshift and AWS Lake Formation compete in the cloud data management and analytics space. Redshift appears to have an advantage in handling large-scale analytical workloads due to its distributed architecture and advanced storage technology, whereas Lake Formation shines in data governance and seamless integration within AWS services.

Features: Redshift offers extensive scalability, supporting petabytes of data, and its distributed architecture enables fast query performance. It also supports multiple file formats and includes security features like VPC configuration. AWS Lake Formation specializes in comprehensive data management and governance, providing data cataloging, backup, and security policy enforcement.

Room for Improvement: Redshift users point out the need for enhancement in large dataset restores and express the desire for improved real-time integrations and ETL processes. Expanding SQL function support is also suggested. Lake Formation could improve integration with non-AWS services and enhance audit and governance capabilities, alongside making its pricing more competitive and refining access controls.

Ease of Deployment and Customer Service: Redshift is used widely in cloud environments, offering easy deployment but occasionally inconsistent support experiences. Extra payment is often required for advanced support. Lake Formation integrates smoothly with AWS services, easing deployment. Although AWS support is generally well-received, it could improve in accessibility and responsiveness.

Pricing and ROI: Redshift is considered cost-effective when scaling is needed, although costs can rise with increased storage and compute usage. Lake Formation's pricing is complex due to dependencies on other AWS services, and while competitive, the overall cost of the AWS ecosystem must be considered. Both solutions offer good ROI potential, but careful management of large datasets and service integration is crucial to maximizing value.

To learn more, read our detailed AWS Lake Formation vs. Amazon Redshift Report (Updated: March 2026).

Buyer's Guide

AWS Lake Formation vs. Amazon Redshift

March 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Redshift

Ranking in Cloud Data Warehouse

9th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Database Management Systems (DBMS) (8th)

AWS Lake Formation

Ranking in Cloud Data Warehouse

8th

Average Rating

8.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 6.8%, down from 6.9% compared to the previous year. The mindshare of AWS Lake Formation is 4.6%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
AWS Lake Formation	4.6%
Amazon Redshift	6.8%
Other	88.6%

Cloud Data Warehouse

Featured Reviews

Pavan Kum

Analyst at Cepstrum(EEE Students Society), IIT Guwahati

Handles large data efficiently but initial setup can be complex

The most valuable features of Amazon Redshift include everything being integrated within Amazon, making it really easy to run queries faster, allowing us to retrieve data as soon as possible compared to other tools. Its friendly functionality connects with all tools linked to Amazon, and the data retrieval is very fast, making it a good warehousing tool. The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly. Scalability is the best feature of Amazon Redshift. Amazon Redshift handles scalability automatically, so we do not need to scale up or down; it is all managed by Redshift.

Read full review

Ciro Baldim Guerra

Sr Analytics Engineer at Itau Unibanco S.A.

Has improved data governance by enabling clear ownership and structured access across teams

In my company, Itaú, we don't utilize all AWS offerings due to rigorous security measures. We operate approximately six to eight months behind other available services. I'm uncertain if gaps exist because of this limitation, though the system functions effectively for us. AWS Lake Formation offers column-level access control for databases, but we haven't implemented this feature either because it hasn't been approved by our compliance, governance, or security areas. In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions. However, I struggle to identify specific improvements needed in AWS Lake Formation.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I have primarily used the Redshift Spectrum feature and found it most valuable."

"I like it because the usage is very similar to Microsoft SQL server. The structure of the query and the temporary tables are very similar."

"Redshift Spectrum is the most valuable feature."

"The most valuable feature is that the solution is fully embedded in the AWS stack."

"I would rate Amazon Redshift a ten on a scale of one to ten."

"The solution's speed, stability, and user concurrency have been very good."

"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."

"The product is the best database for analytics, BI, and whatever else I encounter."

More Amazon Redshift pros

"The most important advantage of using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS."

"The solution is quite good at handling analytics."

"The most valuable features of AWS Lake Formation were the access model itself, as it allows implementation of filters, Blueprints, and row-level and column-level security to mask data that shouldn't be accessed by certain entities, enabling granular control without exposing PII data."

"The features and capabilities of AWS Lake Formation that I have found most valuable are that it is really convenient to see all the different data assets that were configured and understand who has and what type of service has or does not have access to those services."

"We have observed measurable benefits in terms of cost savings, time savings, resource savings, and efficiency improvements in our workflows."

"AWS Lake Formation significantly improves the structure of the data mesh, making it superior to previous structures we used."

"AWS Lake Formation has several valuable features that enhance data management, and one particularly beneficial aspect is how it facilitates better collaboration within data teams."

"The integration of AWS Lake Formation with the IAM for authentication and authorization is very good; I didn't have any problems in the setup and thought it was simple."

More AWS Lake Formation pros

Cons

"The only minor issue I faced was that it took a bit longer than expected to change the cluster to have more space or storage."

"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."

"Amazon Redshift could improve the user interface support."

"It is difficult to work with unstructured data and JSON documents."

"It lacks a few features which can be very useful, such as stored procedures"

"AWS Snowflake has a very good feature for cloning databases. It makes it easy to clone a data warehouse, which is useful. I would like to see this feature in Redshift."

"The managing updates, deletes, and role-level change performance is very low. For example, while you are doing inserts, updates, deletes, and amalgamates, the performance is very, very poor."

"When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."

More Amazon Redshift cons

"For the end-users, it's not as user-friendly as it could be."

"The solution could make improvements around orchestration and doing some automation stuff on AWS front automation. It would be useful if we could use automation to build images and use hardened images which are CIS compliant."

"If I could improve AWS Lake Formation, I would add more integrations with SageMaker."

"Despite following official documentation, configuration problems persisted, requiring weeks of support from multiple AWS engineers to resolve."

"For the end-users, it's not as user-friendly as it could be."

"I think AWS Lake Formation could improve by enforcing the least privilege by design, moving from ad hoc grants to role-based access controls."

"The solution could make improvements around orchestration and doing some automation stuff on AWS front automation."

"It falls short when it comes to more granular access control, such as cell-level or row-level entitlements which is a significant drawback for organizations that require precise control over who can access specific rows of data."

More AWS Lake Formation cons

Pricing and Cost Advice

"Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."

"The best part about this solution is the cost."

"It is an expensive product."

"The product is cheap considering what it provides; I rate it five out of five for affordability."

"The solution is available at a mid-range price compared to other vendors."

"The solution has very competitive pricing."

"The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."

"The product is quite expensive."

More Amazon Redshift pricing and cost advice

"AWS Lake Formation is a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

22%

Manufacturing Company

Retailer

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	28

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	15

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

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What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

See all answers

What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

See all answers

What is your experience regarding pricing and costs for AWS Lake Formation?

I don't understand much about the pricing of AWS Lake Formation, but I know how to search for the cost of Glue jobs, and I use the calculator in Amazon. I use a tool to preview the cost based on th...

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What needs improvement with AWS Lake Formation?

Regarding areas of AWS Lake Formation that could be improved or enhanced, I prefer not to answer, mainly because I do not believe that I would be the most valuable person to ask, as I have not used...

See all answers

What is your primary use case for AWS Lake Formation?

My usual use cases for AWS Lake Formation involved securing and governing the data resources that we configured in AWS, but we did not use the analytics or machine learning capabilities specificall...

See all answers

Comparisons

Snowflake vs Amazon Redshift

Compared 15% of the time

Teradata vs Amazon Redshift

Compared 10% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 7% of the time

IBM Db2 Warehouse vs Amazon Redshift

Compared 6% of the time

Oracle Exadata vs Amazon Redshift

Compared 5% of the time

More Amazon Redshift Competitors

Azure Data Factory vs AWS Lake Formation

Compared 13% of the time

Snowflake vs AWS Lake Formation

Compared 13% of the time

Databricks vs AWS Lake Formation

Compared 12% of the time

BigQuery vs AWS Lake Formation

Compared 8% of the time

Amazon EMR vs AWS Lake Formation

Compared 5% of the time

More AWS Lake Formation Competitors

Product Reports

Buyer's Guide

Amazon Redshift

March 2026

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Buyer's Guide

AWS Lake Formation

March 2026

Download AWS Lake Formation product report

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

Amazon Web Services (AWS)

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Buyer's Guide

AWS Lake Formation vs. Amazon Redshift

March 2026

Free Report: AWS Lake Formation vs. Amazon Redshift

Find out what your peers are saying about AWS Lake Formation vs. Amazon Redshift and other solutions. Updated: March 2026.

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